Keyware Technologies Stock Forward View - Simple Regression

Keyware Technologies Additional Predictive Modules

Most predictive techniques to examine Keyware price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Keyware using various technical indicators. When you analyze Keyware charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. Simple Regression model is a single variable regression model that attempts to put a straight line through Keyware Technologies price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Keyware Technologies Simple Regression Price Forecast For the 19th of February

Given 90 days horizon, the Simple Regression forecasted value of Keyware Technologies NV on the next trading day is expected to be 0.79 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 1.05.

Keyware Technologies Stock Forecast Pattern

Backtest Keyware Technologies

Keyware Technologies Price Prediction

Research Analysis

Keyware Technologies Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Keyware Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Keyware Technologies stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality. In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Keyware Technologies NV historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Keyware Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Keyware Technologies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.

Hype Prediction Low Estimated High 0.04 0.78 3.00 Details

Intrinsic Valuation Low Real High 0.03 0.66 2.88 Details

Keyware Technologies After-Hype Price Density Analysis

Keyware Technologies Estimiated After-Hype Price Volatility

Keyware Technologies Stock Price Outlook Analysis

Notes

Keyware Technologies Hype Timeline

Keyware Technologies is now traded for 0.78on Euronext Brussels of Belgium. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Keyware is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is now at 0.02%. %. The volatility of related hype on Keyware Technologies is about 0.0%, with the expected price after the next announcement by competition of 0.78. About 71.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.79. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Keyware Technologies last dividend was issued on the 11th of September 2019. The entity had 1:50 split on the 3rd of December 2007. Assuming the 90 days trading horizon the next projected press release will be uncertain. Check out Historical Fundamental Analysis of Keyware Technologies to cross-verify your projections.

Keyware Technologies Related Hype Analysis

Other Forecasting Options for Keyware Technologies

For every potential investor in Keyware, whether a beginner or expert, Keyware Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Keyware Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Keyware. Basic forecasting techniques help filter out the noise by identifying Keyware Technologies' price trends.

Keyware Technologies Related Equities

Risk & Return

Correlation

Keyware Technologies Market Strength Events

Keyware Technologies Risk Indicators

Story Coverage note for Keyware Technologies

Other Macroaxis Stories

Keyware Technologies Short Properties

Additional Tools for Keyware Stock Analysis